send_mention · WhatsApp MCP Automation MCP: Risk & Policy

WHAT IT DOES

What send_mention does on WhatsApp MCP Automation

AI agents use send_mention to create or update resources in WhatsApp MCP Automation — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your WhatsApp MCP Automation environment.

WHY IT NEEDS A POLICY

Why send_mention needs a policy

This tool creates and delivers new content (mentions) to group chats, which is a reversible write operation. Severity is high because mass mentions (especially @all) can disrupt group workflows, notify many users inappropriately, or be used for spam/harassment if misused by an AI agent, though it does not permanently delete data, execute arbitrary code, or move money.

From the tool's definition Tool sends mentions (@all, @role, @specific) in WhatsApp groups, which creates/modifies message content and state within the platform. The description explicitly states 'Send' indicating a write operation that creates new messages.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

send_mention Rate-limited

send_mention stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "send_mention": {
      "limits": [
        {
          "counter": "send_mention_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches WhatsApp MCP Automation, so you can run agents against it safely.

FAQ

Questions about send_mention

What does the send_mention tool do? +

Send @all, @role, or @specific mention in a WhatsApp group. It is categorised as a Write tool in the WhatsApp MCP Automation MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on send_mention? +

Register the WhatsApp MCP Automation MCP server in PolicyLayer and add a rule for send_mention: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches WhatsApp MCP Automation. Nothing to install.

What risk level is send_mention? +

send_mention is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit send_mention? +

Yes. Add a rate_limit block to the send_mention rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block send_mention completely? +

Set action: deny in the PolicyLayer policy for send_mention. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides send_mention? +

send_mention is provided by the WhatsApp MCP Automation MCP server (priyasogani8-star/whatsapp-mcp-automation). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.